causaldatalab

Topics in Labor Economics: Empirical Methods and Applications (Spring 2023)

Published on 2023-01-092023-01-09 由causaldatalab撰寫發表留言

Syllabus

Suggestive Textbooks
- Scott Cunningham (2020), Causal Inference: The Mixtape
- Alberto Abadie1 and Matias D. Cattaneo (2018), Econometric Methods for Program Evaluation
- Angrist and Pischke (2016), Mastering Metrics: The Path from Cause to Effect (MM)
- Angrist and Pischke (2009), Mostly Harmless Econometrics (MHE)
- Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2017), An Introduction to Statistical Learning with Applications in R
- George Borjas (2016), Labor Economics, 7th Edition
- Pierre Cahuc, Stephane Carcillo and Andre Zylberberg (2018), Labor Economics, 2nd Edition

Class Data
- You can get access to the data or program used in this class through this link

Class Slides

- 2/20
  - Course Introduction
    - The examples of your term paper
      - Economics letters: Does studying abroad cause international labor mobility? Evidence from Italy

- 2/27
  - Holiday
- 3/6
  - Potential Outcomes Framework
  - Selection Bias
  - Data Source
  - STATA Session 1
    - Introduction to STATA
- 3/13
  - Randomized Controlled Trial
  - Applications of RCT in Labor Economics: Labor Market Discrimination
  - STATA Session 2
    - Read Data
      - Video
    - Examine Data
      - Video
- 3/20
  - Matching Methods
  - STATA Session 3
    - Create the Sample for Analysis: Part 1
      - Video
- 3/25
  - Regression
  - Causal Machine Learning
  - Homework 1 (due on 4/18)
    - Please upload your answer sheet and log file before 4/18 class (13:20pm, 4/18) through this link here
    - The format of answer sheet: here
  - Compulsory Office hour 1
    - Please book a time slot here
    - Guideline for Compulsory Office Hour 1
  - STATA Session 4
    - Create the Sample for Analysis: Part 2
      - Video
- 4/3
  - Holiday
- 4/10
  - Applications of ML in Labor Economics: College Characteristics and Wage
    - Machine Labor
  - Problem of Bad Controls
  - Difference-in-Differences: Part 1
  - Applications of DID in Labor Economics: Corporate tax and Labor Demand
- 4/17
- 4/24
  - Synthetic Control Method: Part 2
  - Regression Discontinuity Design: Part 1
- 5/1
  - Compulsory Office hour 2
  - Regression Discontinuity Design: Part 2
    - Video
  - Guideline for Research Progress Presentation
    - Presentation order for 5/16 and 5/23: here
  - Homework 2 (due on 5/20)
    - Please upload your answer sheet and log file before 5/20 class (Friday, 11:59pm) through this link here
    - The format of answer sheet:here
- 5/8
  - Compulsory Office hour 2
  - R Session
    - Introduction
      - Video
    - Basic
      - Video
    - Read Data
      - Video
    - Examine Data
      - Video
    - Create a Sample for Analysis
      - Video
    - Graphs
      - Video
    - Implement Causal Inferences
      - Video
- 5/15
  - Research Progress Presentation
    - Presentation order
    - Slides
  - Homework 3 (due on 6/24)
    - Please send your answer sheet and R-script to me before 6/24 (23:59pm, 6/24)
    - The format of answer sheet: here
- 5/22
  - Research Progress Presentation
    - Presentation order
  - Guidelines for Final Presentation
    - Video
  - Guideline for Your Term Paper
    - Video
    - Please send your term paper to me before 7/8 (23:59pm, 7/8)
  - Concluding Remarks
- 5/29
  - Online Office hour
- 6/5
  - Final Presentation
    - Presentation order
- 6/12
  - Final Presentation
    - Presentation order
- 7/1
  - Term Paper Due Date
    - Please submit it through this link

STATA Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Alexander C. Lembcke (2010), Introduction to Stata
  - Alexander C. Lembcke (2009), Advanced Stata Topics
Latex Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Textbook 1
- Useful Slides
  - Slides 1
- Templates
  - Templates website 1

Causal Inference and Data Science in Economics (Spring 2022)

Published on 2022-02-122022-06-30 由causaldatalab撰寫發表留言

Syllabus

Suggestive Textbooks
- Scott Cunningham (2020), Causal Inference: The Mixtape
- Alberto Abadie1 and Matias D. Cattaneo (2018), Econometric Methods for Program Evaluation
- Angrist and Pischke (2016), Mastering Metrics: The Path from Cause to Effect (MM)
- Angrist and Pischke (2009), Mostly Harmless Econometrics (MHE)
- Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2017), An Introduction to Statistical Learning with Applications in R

Class Data
- You can get access to the data or program used in this class through this link

Class Slides
- 2/16
  - Course Introduction
    - The examples of your term paper
      - Economics letters: Does studying abroad cause international labor mobility? Evidence from Italy
- 2/23
  - Potential Outcome Framework
  - Selection Bias
  - Data Source
  - STATA Session 1
    - Introduction to STATA
- 3/2
  - Randomized Controlled Trial
  - STATA Session 2
    - Read Data
      - Video
    - Examine Data
      - Video
- 3/9
  - Matching Methods
  - STATA Session 3
    - Create the Sample for Analysis: Part 1
      - Video
- 3/16
  - Regression
  - Causal Machine Learning
- 3/23
  - Problem of Bad Controls
  - Difference-in-Differences Design
  - STATA Session 4
    - Create the Sample for Analysis: Part 2
      - Video
  - Homework 1 (due on 4/20)
    - Please upload your answer sheet and log file to here before 4/20 class (4:10pm, 4/20)
    - The format of answer sheet: here
  - Compulsory Office hour 1
    - Please book a time slot here
    - Guideline for Research Questions Presentation
- 3/30
  - Compulsory Office Hour 1
- 4/6
  - Holiday
- 4/13
  - Synthetic Control Method
    - Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects
  - STATA Session 5
- 4/20
  - Regression Discontinuity Design: Part 1
- 4/27
  - Regression Discontinuity Design: Part 2
  - Guideline for Compulsory Office Hour
    - Please book a time slot here
- 5/4
  - Compulsory Office Hour 2
  - Guideline for Research Progress Presentation
    - Presentation order for 5/18: here
  - Homework 2 (due on 5/20)
    - Please upload your answer sheet and log file to here before 5/20 class (11:59pm, Friday)
    - The format of answer sheet: here
- 5/11
  - Compulsory Office Hour 2
  - R Session
    - Introduction
      - Video
    - Basic
      - Video
    - Read Data
      - Video
    - Examine Data
      - Video
    - Create a Sample for Analysis
      - Video
    - Graphs
      - Video
    - Implement Causal Inferences
      - Video
- 5/18
  - Research Progress Presentation
    - Presentation order
  - Homework 3 (due on 6/24)
    - Please send your answer sheet and R-script to me before 6/24 (23:59pm, 6/24)
    - The format of answer sheet: here
- 5/25
  - Online Office Hour
  - Guidelines for Final Presentation
    - Video
  - Guideline for Your Term Paper
    - Video
    - Please send your term paper to me before 7/8 (23:59pm, 7/8)
  - Concluding Remarks
- 6/1
  - Online Office Hour
- 6/8
  - Online Office Hour
- 6/22
  - Final Presentation
    - Presentation order
    - Peer Evaluation
- 7/8
  - Term Paper Due Date
    - Please submit it through this link

STATA Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Alexander C. Lembcke (2010), Introduction to Stata
  - Alexander C. Lembcke (2009), Advanced Stata Topics
Latex Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Textbook 1
- Useful Slides
  - Slides 1
- Templates
  - Templates website 1

Topics in Labor Economics: Empirical Methods and Applications (Spring 2022)

Published on 2022-02-122022-06-30 由causaldatalab撰寫發表留言

Syllabus

Suggestive Textbooks
- Scott Cunningham (2020), Causal Inference: The Mixtape
- Alberto Abadie1 and Matias D. Cattaneo (2018), Econometric Methods for Program Evaluation
- Angrist and Pischke (2016), Mastering Metrics: The Path from Cause to Effect (MM)
- Angrist and Pischke (2009), Mostly Harmless Econometrics (MHE)
- Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2017), An Introduction to Statistical Learning with Applications in R
- George Borjas (2016), Labor Economics, 7th Edition
- Pierre Cahuc, Stephane Carcillo and Andre Zylberberg (2018), Labor Economics, 2nd Edition

Class Data
- You can get access to the data or program used in this class through this link

Class Slides

- 2/14
  - Course Introduction
    - The examples of your term paper
      - Economics letters: Does studying abroad cause international labor mobility? Evidence from Italy

- 2/21
  - Potential Outcomes Framework
  - Selection Bias
  - Data Source
  - STATA Session 1
    - Introduction to STATA
- 2/28
  - Holiday
- 3/7
  - Randomized Controlled Trial
  - Applications of RCT in Labor Economics: Labor Market Discrimination
  - STATA Session 2
    - Read Data
      - Video
    - Examine Data
      - Video
- 3/14
  - Matching Methods
  - STATA Session 3
    - Create the Sample for Analysis: Part 1
      - Video
- 3/21
  - Regression
  - Causal Machine Learning
  - Homework 1 (due on 4/18)
    - Please upload your answer sheet and log file before 4/18 class (13:20pm, 4/18) through this link here
    - The format of answer sheet: here
  - Compulsory Office hour 1
    - Please book a time slot here
    - Guideline for Compulsory Office Hour 1
  - STATA Session 4
    - Create the Sample for Analysis: Part 2
      - Video
- 3/28
  - Compulsory Office hour 1
  - Applications of ML in Labor Economics: College Characteristics and Wage
    - Machine Labor
- 4/4
  - Holiday
- 4/11
  - Problem of Bad Controls
  - Difference-in-Differences: Part 1
  - Applications of DID in Labor Economics: Corporate tax and Labor Demand
- 4/18
  - Difference-in-Differences: Part 2
  - Synthetic Control Method: Part 1
    - Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects
  - STATA Session 5
- 4/25
  - Synthetic Control Method: Part 2
  - Regression Discontinuity Design: Part 1
- 5/2
  - Compulsory Office hour 2
  - Regression Discontinuity Design: Part 2
    - Video
  - Guideline for Research Progress Presentation
    - Presentation order for 5/16 and 5/23: here
  - Homework 2 (due on 5/20)
    - Please upload your answer sheet and log file before 5/20 class (Friday, 11:59pm) through this link here
    - The format of answer sheet:here
- 5/9
  - Compulsory Office hour 2
  - R Session
    - Introduction
      - Video
    - Basic
      - Video
    - Read Data
      - Video
    - Examine Data
      - Video
    - Create a Sample for Analysis
      - Video
    - Graphs
      - Video
    - Implement Causal Inferences
      - Video
- 5/16
  - Research Progress Presentation
    - Presentation order
    - Slides
  - Homework 3 (due on 6/24)
    - Please send your answer sheet and R-script to me before 6/24 (23:59pm, 6/24)
    - The format of answer sheet: here
- 5/23
  - Research Progress Presentation
    - Presentation order
  - Guidelines for Final Presentation
    - Video
  - Guideline for Your Term Paper
    - Video
    - Please send your term paper to me before 7/8 (23:59pm, 7/8)
  - Concluding Remarks
- 5/30
  - Online Office hour
- 6/6
  - Final Presentation
    - Presentation order
- 6/9
  - Online Office Hour
    - Booking a slot
- 6/10
  - Online Office Hour
    - Booking a slot
- 6/13
  - Final Presentation
    - Presentation order
- 7/8
  - Term Paper Due Date
    - Please submit it through this link

STATA Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Alexander C. Lembcke (2010), Introduction to Stata
  - Alexander C. Lembcke (2009), Advanced Stata Topics
Latex Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Textbook 1
- Useful Slides
  - Slides 1
- Templates
  - Templates website 1

Applied Micro II: 進階因果推論專題 (Fall 2021)

Published on 2021-10-182021-11-01 由causaldatalab撰寫發表留言

Class Data

- You can get access to the data or program used in this class through this link

Class Slides

- 10/19
  - Trends in Applied Micro
  - Bunching Method
- 10/26
  - Bunching with norch
    - Suggested Reading: Bunching
- 11/2
  - Spatial Data and Causal Inference: Part 1
- 11/9
  - Spatial Data and Causal Inference: Part 2

STATA Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Alexander C. Lembcke (2010), Introduction to Stata
  - Alexander C. Lembcke (2009), Advanced Stata Topics
Latex Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Textbook 1
- Useful Slides
  - Slides 1
- Templates
  - Templates website 1

Topics in Labor Economics: Empirical Methods and Applications (Spring 2021)

Published on 2021-02-212022-03-20 由causaldatalab撰寫發表留言

Syllabus

Suggestive Textbooks
- Scott Cunningham (2020), Causal Inference: The Mixtape
- Alberto Abadie1 and Matias D. Cattaneo (2018), Econometric Methods for Program Evaluation
- Angrist and Pischke (2016), Mastering Metrics: The Path from Cause to Effect (MM)
- Angrist and Pischke (2009), Mostly Harmless Econometrics (MHE)
- Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2017), An Introduction to Statistical Learning with Applications in R
- George Borjas (2016), Labor Economics, 7th Edition
- Pierre Cahuc, Stephane Carcillo and Andre Zylberberg (2018), Labor Economics, 2nd Edition

Class Data
- You can get access to the data or program used in this class through this link

Class Slides

- 2/23
  - Course Introduction
    - The examples of your term paper
      - Economics letters: Does studying abroad cause international labor mobility? Evidence from Italy

- 3/2
  - Potential Outcomes Framework
  - Selection Bias
  - Data Source
  - STATA Session 1
    - Introduction to STATA
- 3/9
  - Randomized Controlled Trial
  - Applications of RCT in Labor Economics: Labor Market Discrimination
  - STATA Session 2
    - Read Data
- 3/16
  - Matching Methods: Part 1
  - STATA Session 3
    - Examine Data
- 3/23
  - Matching Methods: Part 2
  - Regression
  - STATA Session 4
    - Create the Sample for Analysis: Part 1
- 3/30
  - Machine Learning and Causal Inference
  - Compulsory Office hour 1
    - Please book a time slot here
    - Guideline for Research Questions Presentation
  - Homework 1 (due on 4/27)
    - Please upload your answer sheet and log file before 4/27 class (13:20pm, 4/27) through this link here
    - The format of answer sheet:here
- 4/6
  - Holiday
- 4/13
  - Compulsory Office hour 1
- 4/20
  - Problem of Bad Controls
  - Difference-in-Differences
  - STATA Session 5
- 4/27
- 5/4
  - Regression Discontinuity Design: Part 1
  - R Session 2
    - Basic
  - Compulsory Office hour 2
    - Please book a time slot here
- 5/11
  - Compulsory Office hour 2
  - Regression Discontinuity Design: Part 2
  - R Session 3
    - Read Data
  - Guideline for Research Proposal Presentation
    - Presentation order for 5/18: here
- 5/18
  - Research Proposal Presentation
- 5/25
  - Regression Discontinuity Design in Time
- 6/1
  - R Session
    - Read Data
    - Examine Data and Create a Sample for Analysis
    - Implement Causal Inferences
    - Visualize Data
  - Guidelines for Final Presentations
  - Guideline for Your Term Paper and Concluding Remarks
    - Please send your term paper to me before 7/13 (23:59pm, 7/13)
  - Homework 2 (due on 7/13)
    - Please send your answer sheet and R-script to me before 7/13 (23:59pm, 7/13)
    - The format of answer sheet: here
- 6/8
  - Online office hour
- 6/15
  - Final Presentation

STATA Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Alexander C. Lembcke (2010), Introduction to Stata
  - Alexander C. Lembcke (2009), Advanced Stata Topics
Latex Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Textbook 1
- Useful Slides
  - Slides 1
- Templates
  - Templates website 1

Causal Inference and Data Science in Economics (Spring 2021)

Published on 2021-02-212021-06-09 由causaldatalab撰寫發表留言

Syllabus

Suggestive Textbooks
- Scott Cunningham (2020), Causal Inference: The Mixtape
- Alberto Abadie1 and Matias D. Cattaneo (2018), Econometric Methods for Program Evaluation
- Angrist and Pischke (2016), Mastering Metrics: The Path from Cause to Effect (MM)
- Angrist and Pischke (2009), Mostly Harmless Econometrics (MHE)
- Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2017), An Introduction to Statistical Learning with Applications in R

Class Data
- You can get access to the data or program used in this class through this link

Class Slides
- 2/22
  - Course Introduction
    - The examples of your term paper
      - Economics letters: Does studying abroad cause international labor mobility? Evidence from Italy
- 3/8
  - Potential Outcome Framework
  - Selection Bias
  - Randomized Controlled Trial: Part 1
  - Data Source
  - STATA Session 1
    - Introduction to STATA
- 3/15
  - Randomized Controlled Trial: Part 2
  - Matching Methods: Part 1
  - STATA Session 2
    - Read Data
- 3/22
  - Matching Methods: Part 2
  - Regression
  - STATA Session 3
    - Examine Data
- 3/29
  - Machine Learning and Causal Inference
    - STATA Session 4
      - Create the Sample for Analysis
    - Compulsory Office hour 1
      - Please book a time slot here
      - Guideline for Research Questions Presentation
    - Homework 1 (due on 4/26)
      - Please upload your answer sheet and log file to here before 4/26 class (4:30pm, 4/26)
      - The format of answer sheet: here
- 4/12
  - Compulsory Office Hour 1
  - STATA Session 5
    - Create the Sample for Analysis
- 4/19
  - Problem of Bad Controls
  - Difference-in-Differences: Part 1
  - STATA Session 6
- 4/26
  - Difference-in-Differences: Part 2
  - Synthetic Control Method: Part 1
    - Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects
  - STATA Session 7
  - R Session 1
    - Introduction
- 5/3
  - Synthetic Control Method: Part 2
  - R Session 2
    - Basic
  - Compulsory Office hour 2
    - Please book a time slot here
- 5/10
  - Compulsory Office hour 2
  - Regression Discontinuity Design
  - Guideline for Research Proposal Presentation
    - Presentation order for 5/17: here
- 5/17
  - Research Progress Presentation
- 5/24
  - Regression Discontinuity Design in Time
- 5/31
  - R Session
    - Read Data
    - Examine Data and Create a Sample for Analysis
    - Implement Causal Inferences
    - Visualize Data
  - Guidelines for Final Presentations
  - Guideline for Your Term Paper and Concluding Remarks
    - Please send your term paper to me before 7/13 (23:59pm, 7/13)
  - Homework 2 (due on 7/13)
    - Please send your answer sheet and R-script to me before 7/13 (23:59pm, 7/13)
    - The format of answer sheet: here
- 6/7
  - Online office hour
- 6/14
  - Final Presentation

STATA Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Alexander C. Lembcke (2010), Introduction to Stata
  - Alexander C. Lembcke (2009), Advanced Stata Topics
Latex Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Textbook 1
- Useful Slides
  - Slides 1
- Templates
  - Templates website 1

Topics in Labor Economics: Empirical Methods and Applications (Spring 2020)

Published on 2020-02-142020-06-09 由causaldatalab撰寫發表留言

Syllabus

Suggestive Textbooks
- Angrist and Pischke (2014), Mastering Metrics: The Path from Cause to Effect (MM)
- Angrist and Pischke (2009), Mostly Harmless Econometrics (MHE)
- George Borjas (2016), Labor Economics, 7th Edition
- Pierre Cahuc, Stephane Carcillo and Andre Zylberberg (2018), Labor Economics, 2nd Edition
- Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2017), An Introduction to Statistical Learning with Applications in R

Class Data
- You can get access to the data or program used in this class through this link

Class Slides

- 3/4
  - Course Introduction
    - The examples of your term paper
      - Economics letters: Does studying abroad cause international labor mobility? Evidence from Italy

- - Data Source

- 3/11
  - Selection Bias
    - MHE, ch2
    - MM, ch 1
  - Randomized Controlled Trial
    - MHE, ch2
    - MM, ch 1
  - STATA Session 1
    - Introduction to STATA
- 3/18
  - Applications of RCT in Labor Economics: Labor Market Discrimination
  - Regression
    - MHE, ch3
  - STATA Session 2
    - Read Data
- 3/25
  - Matching
    - MHE, ch3
  - Compulsory Office hour 1
    - - Please book a time slot here
      - Guideline for Research Questions Presentation
- 4/1
  - Machine Learning and Causal Inference
  - STATA Session 3
- 4/8
  - Difference-in-Differences
    - MHE, ch 5
  - STATA Session 4
    - Visualize Data
  - Homework 1 (due on 5/6)
    - Please upload your answer sheet and log file to NTU COOL before 5/6 class (10:20am, 5/6)
    - The format of answer sheet: here
- 4/15
  - Compulsory Office hour 1
- 4/22
- 4/29
  - Applications of SCM in Labor Economics: Minimum Wage and Labor Demand
    - MHE, ch 6
  - R Session 1
    - Introduction
  - Compulsory Office hour 2
    - Please book a time slot here
- 5/6
  - Regression Discontinuity Design: Part 1
    - MHE, ch 6
  - R Session 2
    - Basic
  - Guideline for Research Proposal Presentation
    - Please book a time slot here (Presentation date: 5/13)
- 5/13
  - Research Proposal Presentation
- 5/20
  - Research Proposal Presentation
  - Regression Discontinuity Design: Part 2
    - MHE, ch 6
  - R Session 3
    - Read Data
    - Examine Data and Create a Sample for Analysis
- 5/27
  - Instrumental Variable
    - MHE, ch4
    - MM, ch3
  - R Session 4
    - Implement Causal Inference in R
  - Guideline for Final Presentation
- 6/3
  - Applications of IV in Labor Economics: Fertility and Female Labor Supply
  - Combine DID and IV
  - Combine RDD and IV
  - R Session 5
    - Implement Causal Inference in R
    - Visualize Data
  - Homework 2 (due on 6/24)
    - Please send your answer sheet and R-script to me before 6/24 (10:20am, 6/24)
    - The format of answer sheet: here
- 6/10
  - Guideline for Your Term Paper and Concluding
    Remarks
    - Please send your term paper to me before 7/19 (23:59pm, 7/19)
  - R Session 6
    - Visualize Data
  - Final Presentation
    - Please book a time slot here (Presentation date: 6/10)
    - Please book a time slot here (Presentation date: 6/17)

STATA Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Alexander C. Lembcke (2010), Introduction to Stata
  - Alexander C. Lembcke (2009), Advanced Stata Topics
Latex Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Textbook 1
- Useful Slides
  - Slides 1
- Templates
  - Templates website 1

Causal Inference and Data Science in Economics (Spring 2020)

Published on 2019-12-262020-06-10 由causaldatalab撰寫發表留言

Syllabus

Suggestive Textbooks
- Angrist and Pischke (2014), Mastering Metrics: The Path from Cause to Effect (MM)
- Angrist and Pischke (2009), Mostly Harmless Econometrics (MHE)
- Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2017), An Introduction to Statistical Learning with Applications in R

Class Data
- You can get access to the data or program used in this class through this link

Class Slides
- 2/26
  - Course Introduction
    - The examples of your term paper
      - Economics letters: Does studying abroad cause international labor mobility? Evidence from Italy
- 3/4
  - Data Source
  - Selection Bias
    - MHE, ch2
    - MM, ch 1
  - STATA Session 1
    - Introduction to STATA
- 3/11
  - Randomized Controlled Trial
    - MHE, ch2
    - MM, ch 1
  - STATA Session 2
    - - Read Data
- 3/18
  - Regression
    - MHE, ch3
  - Matching
    - MHE, ch3
  - STATA Session 3
    - Examine Data
- 3/25
  - Matching
    - MHE, ch3
  - STATA Session 4
    - Create the Sample for Analysis: Part 1
    - Create the Sample for Analysis: Part 2
  - Compulsory Office hour 1
    - Please book a time slot here
    - Guideline for Research Questions Presentation
- 4/1
  - Machine Learning and Causal Inference
  - STATA Session 5
    - Visualize Data
- 4/8
  - Difference-in-Differences: Part 1
    - MHE, ch 5
  - Homework 1 (due on 5/6)
    - Please upload your answer sheet and log file to WM5 before 5/6 class (4:30pm, 5/6)
    - The format of answer sheet: here
- 4/15
  - Compulsory Office Hour 1
- 4/22
  - Difference-in-Differences: Part 2
    - MHE, ch 5
  - Synthetic Control Method: Part 1
    - Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects
  - STATA Session 6
- 4/29
  - Synthetic Control Method: Part 2
  - Regression Discontinuity Design: Part 1
    - - MHE, ch 6
  - R Session 1
    - Introduction
  - Compulsory Office hour 2
    - Please book a time slot here
- 5/6
  - Regression Discontinuity Design: Part 2
    - MHE, ch 6
  - R Session 2
    - Basic
    - Read Data
  - Guideline for Research Proposal Presentation
    - Please book a time slot here (Presentation date: 5/13)
- 5/13
  - Research Progress Presentation
- 5/20
  - Regression Discontinuity Design in Time
  - R Session 3
- 5/27
  - Instrumental Variable
    - MHE, ch4
    - MM, ch3
  - Guidelines for Final Presentations
  - R Session 4
    - Implement Causal Inference in R
- 6/3
  - Combine DID and IV
  - Combine RDD and IV
  - R Session 5
    - Visualize Data
  - Homework 2 (due on 6/24)
    - Please send your answer sheet and R-script to me before 6/24 (3:00pm, 6/24)
    - The format of answer sheet: here
  - Guideline for Your Term Paper and Concluding
    Remarks
    - Please send your term paper to me before 7/19 (23:59pm, 7/19)
- 6/10
  - Graphical Data Analysis
  - Final Presentation
    - Please book a time slot here (Presentation date: 6/10)
    - Please book a time slot here (Presentation date: 6/17)

STATA Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Alexander C. Lembcke (2010), Introduction to Stata
  - Alexander C. Lembcke (2009), Advanced Stata Topics
Latex Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Textbook 1
- Useful Slides
  - Slides 1
- Templates
  - Templates website 1

Topics in Labor Economics: Empirical Methods and Applications (Spring 2019)

Published on 2019-01-072019-06-28 由causaldatalab撰寫發表留言

Syllabus

Suggestive Textbooks
- Angrist and Pischke (2014), Mastering Metrics: The Path from Cause to Effect (MM)
- Angrist and Pischke (2009), Mostly Harmless Econometrics (MHE)
- George Borjas (2016), Labor Economics, 7th Edition
- Pierre Cahuc, Stephane Carcillo and Andre Zylberberg (2018), Labor Economics, 2nd Edition
- Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2017), An Introduction to Statistical Learning with Applications in R

Class Data
- You can get access to the data or program used in this class through this link

Class Slides

- 2/22
  - Course Introduction
    - The examples of your term paper
      - Economics letters: Does studying abroad cause international labor mobility? Evidence from Italy
- 3/8
  - Selection Bias
    - MHE, ch2
    - MM, ch 1
  - Randomized Controlled Trial
    - MHE, ch2
    - MM, ch 1
  - Data Source
- 3/15
  - Applications of RCT in Labor Economics: Labor Market Discrimination
  - Regression: Part 1
    - MHE, ch3
  - STATA Session 1
    - Introduction to STATA
    - Read Data
- 3/22
  - Regression: Part 2
  - Matching Methods
    - MHE, ch3
  - STATA Session 2
    - Examine Data
    - Organize Data: Part 1
  - Compulsory Office hour 1
    - Please book a time slot here
- 3/29
  - Instrumental Variable
    - MHE, ch4
    - MM, ch3
  - Homework 1 (due on 4/26)
    - Please send your answer sheet and log file to me before 4/26 class (3:30pm, 4/26)
    - The format of answer sheet: here
  - Guideline for Research Questions Presentation
- 4/12
  - Applications of IV in Labor Economics: Fertility and Female Labor Supply
  - STATA Session 3
    - Organize Data: Part 2
    - Visualize Data
- 4/19
  - Difference-in-Differences
    - MHE, ch 5
- 4/26
  - Applications of DID in Labor Economics: Corporate tax and Labor Demand
  - Synthetic Control Method: Part 1
  - STATA Session 4
  - Compulsory Office hour 2
    - Please book a time slot here
- 5/3
- 5/10
  - Regression Discontinuity Design: Part 1
    - MHE, ch 6
  - Guideline for Research Proposal Presentation
    - Please book a time slot here (Presentation date: 5/17)
- 5/17
  - Regression Discontinuity Design: Part 2
    - MHE, ch 6
  - R Session 2
    - Read Data
    - Examine Data and Create a Sample for Analysis
  - Homework 2 (due on 6/14)
    - Please send your answer sheet and R-script to me before 6/14 (3:30pm, 6/14)
    - The format of answer sheet: here
  - Research Progress Presentation: Part 1
- 5/24
  - Research Progress Presentation: Part 2
- 5/31
  - Machine Learning and Causal Inference
  - R Session 3
    - Implement Causal Inference in R
    - Visualize Data
- 6/14
  - Graphical Data Analysis
  - Guidelines for Final Presentations
  - Guideline for Your Term Paper and Concluding
    Remarks
    - Please send your term paper to me before 7/28 (23:59pm, 7/28)
- 6/28
  - Final Presentation
    - Start from 2:15 pm
    - Note that the classroom is 736
    - Please book a time slot here
    - Workshop Program — here

STATA Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Alexander C. Lembcke (2010), Introduction to Stata
  - Alexander C. Lembcke (2009), Advanced Stata Topics
Latex Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Textbook 1
- Useful Slides
  - Slides 1
- Templates
  - Templates website 1

Causal Inference and Data Science in Economics (Spring 2019)

Published on 2019-01-072019-06-27 由causaldatalab撰寫發表留言

Syllabus

Suggestive Textbooks
- Angrist and Pischke (2014), Mastering Metrics: The Path from Cause to Effect (MM)
- Angrist and Pischke (2009), Mostly Harmless Econometrics (MHE)
- Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2017), An Introduction to Statistical Learning with Applications in R

Class Data
- You can get access to the data or program used in this class through this link

Class Slides
- 3/8
  - Course Introduction
    - The examples of your term paper
      - Economics letters: Does studying abroad cause international labor mobility? Evidence from Italy
  - Data Source
  - Selection Bias
    - MHE, ch2
    - MM, ch 1
- 3/15
  - Randomized Controlled Trial
    - MHE, ch2
    - MM, ch 1
  - Regression
    - MHE, ch3
  - STATA Session 1
    - Introduction to STATA
    - Read Data
- 3/22
  - Regression
    - MHE, ch3
  - Matching
    - MHE, ch3
  - STATA Session 2
    - Examine Data
    - Organize Data
  - Compulsory Office hour 1
    - Please book a time slot here
- 3/29
  - Instrumental Variable: Part 1
    - MHE, ch4
    - MM, ch3
  - STATA Session 3
    - Organize Data: Part 2
  - Homework 1 (due on 4/26)
    - Please send your answer sheet and log file to me before 4/26 class (10:10am, 4/26)
    - The format of answer sheet: here
  - Guideline for Research Questions Presentation
- 4/12
  - Instrumental Variable: Part 2
    - MHE, ch4
    - MM, ch3
  - STATA Session 4
    - Visualize Data
- 4/19
  - Difference-in-Differences: Part 1
    - MHE, ch 5
- 4/26
  - Difference-in-Differences: Part 2
    - MHE, ch 5
  - Synthetic Control Method: Part 1
  - STATA Session 5
  - Compulsory Office hour 2
    - Please book a time slot here
- 5/3
  - Synthetic Control Method: Part 2
  - R Session 1
    - Introduction
- 5/10
  - Regression Discontinuity Design: Part 1
    - MHE, ch 6
  - Guideline for Research Proposal Presentation
    - Please book a time slot here (Presentation date: 5/17)
- 5/17
  - Regression Discontinuity Design: Part 2
    - MHE, ch 6
  - R Session 2
    - Read Data
    - Examine Data and Create a Sample for Analysis
  - Homework 2 (due on 6/14)
    - Please send your answer sheet and R-script to me before 6/14 (10:10am, 6/14)
    - The format of answer sheet: here
  - Research Progress Presentation: Part 1
- 5/24
  - Research Progress Presentation: Part 2
- 5/31
  - Machine Learning and Causal Inference
  - R Session 3
    - Implement Causal Inference in R
    - Visualize Data
- 6/14
  - Graphical Data Analysis
  - Guidelines for Final Presentations
  - Guideline for Your Term Paper and Concluding
    Remarks
    - Please send your term paper to me before 7/28 (23:59pm, 7/28)
- 6/28
  - Final Presentation
    - Start from 10:10am
    - Please book a time slot here
    - Workshop Program — here

STATA Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Alexander C. Lembcke (2010), Introduction to Stata
  - Alexander C. Lembcke (2009), Advanced Stata Topics
Latex Resources
- Videos
  - Video Tutorials 1
- Textbooks
  - Textbook 1
- Useful Slides
  - Slides 1
- Templates
  - Templates website 1